DIY-Data-Science, 机器学习工具指南和理论说明.zip
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2019-10-10
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DIY-Data-Science.zip （23个子文件） 
DIY-Data-Science-master 
README.md 1KB research visual_qa.md 6KB seq2seq.md 9KB papernotes 2015 09 hierarchical-rnn-for-document-modeling.md 894B document-modeling-with-GRU.md 827B 2016 02 document-context-language-models.md 739B conv-attention-network-source-code-summarization.md 1KB planet-photo-geolocation.md 890B 07 LSTM-Encoder-Decoder-For-Multi-Sensor-Anomaly-Detection.md 875B Bag-Of-Tricks-For-Efficient-Text-Classification.md 637B Domain-Adaption-for-Neural-Network-by-Parameter-Augmentation.md 1017B 03 Learning-Discriminate-Features-Using-Encoder-Decoder.md 1KB 05 not-just-a-black-box-deep-feature-learning.md 809B tweet2vec.md 834B 06 vote-boosting-ensembles.md 1KB hybrid-recommender-system-based-on-autoencoders.md 1KB 2014 10 explain-images-multimodel-recurrent-neural-networks.md 727B 06 model-visualizing-summarising-conv-net.md 817B frameworks gensim.md 6KB chainer.md 7KB pyevolve.md 5KB pyLDAvis.md 3KB xgboost.md 6KB
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